02_data_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b497eb83",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from scipy import stats\n",
    "\n",
    "sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a3c0f2c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/fixed_raw_data.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89bedbe5",
   "metadata": {},
   "source": [
    "# 1 Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2617674d",
   "metadata": {},
   "source": [
    "## 1.1 Price distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1dd052a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "n_bins = int(np.log10(df.shape[0]) * 3.2 + 1) # n_bins=12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5b3205b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(16, 6))\n",
    "\n",
    "df['Price'].hist(color='gold', bins=n_bins, ax=axes[0])\n",
    "axes[0].set_xlabel('Price distribution (in Euro)', fontsize=14)\n",
    "axes[0].set_ylabel('Number of reviews', fontsize=14)\n",
    "axes[0].set_title('Price distribution', fontsize=20)\n",
    "\n",
    "df.groupby(['Brand', 'Model'])['Price'].mean().hist(bins=10, ax=axes[1])\n",
    "axes[1].set_xlabel('Price distribution (in Euro)', fontsize=14)\n",
    "axes[1].set_ylabel('Number of models', fontsize=14)\n",
    "axes[1].set_title('Price distribution', fontsize=20)\n",
    "\n",
    "plt.savefig('imgs/Price_dist.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4183f886",
   "metadata": {},
   "source": [
    "Let's look at 'outliers'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ba70e438",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Model</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Galaxy Z Flip 5G</th>\n",
       "      <td>1509</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Galaxy Z Fold 2 5G</th>\n",
       "      <td>1799</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    mean  count\n",
       "Model                          \n",
       "Galaxy Z Flip 5G    1509      1\n",
       "Galaxy Z Fold 2 5G  1799      1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Price']>1400].groupby('Model')[\"Price\"].agg(['mean', 'count'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82f34cf7",
   "metadata": {},
   "source": [
    "Let's look on similar figures for every brand."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "14ffd63a",
   "metadata": {},
   "outputs": [],
   "source": [
    "color_dic = {'huawei': 'indianred', 'apple': 'silver', 'samsung':'dodgerblue', \n",
    "             'google': 'orangered', 'oneplus': 'red', \n",
    "             'xiaomi': 'darkorange', 'oppo': 'seagreen', 'nokia': 'royalblue', \n",
    "             'vivo': 'cornflowerblue'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f6842f38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x864 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=3, ncols=3, figsize=(16, 12))\n",
    "\n",
    "list_of_brands = df.Brand.unique()\n",
    "\n",
    "for n, i in enumerate(list_of_brands):\n",
    "    r, c = n//3, n%3\n",
    "    brand_price = df[df['Brand'] == i]['Price']\n",
    "    cax = brand_price.hist(ax=axes[r, c], color=color_dic[i], label=i)\n",
    "    cax.set_xlabel('Price distribution (in Euro)', fontsize=10)\n",
    "    cax.set_ylabel('Number of reviews', fontsize=10);\n",
    "    cax.legend()\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.savefig('imgs/Price_dist_brand.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2cbab02",
   "metadata": {},
   "source": [
    "## 1.2 Review Distribution over Brands"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e657e08",
   "metadata": {},
   "source": [
    "In the previous section it can be noticed that there are several brands with the very insignificant numbers of reviews. It should be explored more attentively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b0d869bd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "ax = sns.barplot(x=df['Brand'].value_counts().index, y=df['Brand'].value_counts().values, palette=color_dic)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45, horizontalalignment='right', fontdict={'fontsize': 20})\n",
    "ax.set_ylabel('Number of reviews', fontsize=20);\n",
    "plt.savefig('imgs/review_dist.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a1805b8",
   "metadata": {},
   "source": [
    "### We can see that it makes sense to work with apple and samsung more thoroughly in the next paragraph. However, we keep visualize all brands in this one."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38ad3c21",
   "metadata": {},
   "source": [
    "## 1.3 Rate distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e98725dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df['Rate'].hist(color='wheat', bins=6, figsize=(16, 10))\n",
    "ax.set_xlabel('Rate distribution', fontsize=14)\n",
    "ax.set_ylabel('Number of reviews', fontsize=14)\n",
    "ax.set_title('Rate distribution', fontsize=20)\n",
    "\n",
    "plt.savefig('imgs/Rate_dist.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f3f4c0da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Brand\n",
       "nokia      5.000000\n",
       "vivo       5.000000\n",
       "google     4.888889\n",
       "apple      4.854404\n",
       "oneplus    4.823529\n",
       "samsung    4.813550\n",
       "oppo       4.800000\n",
       "xiaomi     4.746269\n",
       "huawei     4.729084\n",
       "Name: Rate, dtype: float64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby('Brand')['Rate'].mean().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "46dbaeeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "ax = sns.barplot(x=df.groupby('Brand')['Rate'].mean().sort_values(ascending=False).index, \n",
    "                 y=df.groupby('Brand')['Rate'].mean().sort_values(ascending=False).values, \n",
    "                 palette=color_dic)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation=45, horizontalalignment='right', fontdict={'fontsize': 20})\n",
    "ax.set_ylabel('Average Rate', fontsize=20);\n",
    "plt.savefig('imgs/Rate_dist_brands.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6b0b3b9",
   "metadata": {},
   "source": [
    "### As we can see before, only apple and samsung are representative enough."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8a7147a",
   "metadata": {},
   "source": [
    "## 1.4 Number of words distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "f0469f60",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Number of words'] = df['Review'].apply(lambda x: len(x.split()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "8b6f5e1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df['Number of words'].hist(color='violet', bins=15, figsize=(16, 10))\n",
    "ax.set_xlabel('Number of words distribution', fontsize=14)\n",
    "ax.set_ylabel('Number of reviews', fontsize=14)\n",
    "ax.set_title('Number of words distribution', fontsize=20)\n",
    "\n",
    "plt.savefig('imgs/NoW_dist.png');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "0f550b58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x864 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=3, ncols=3, figsize=(16, 12))\n",
    "\n",
    "for n, i in enumerate(list_of_brands):\n",
    "    r, c = n//3, n%3\n",
    "    brand_now = df[df['Brand'] == i]['Number of words']\n",
    "    cax = brand_now[brand_now<100].hist(ax=axes[r, c], color=color_dic[i], label=i)\n",
    "    cax.set_xlabel('Number of words distribution', fontsize=10)\n",
    "    cax.set_ylabel('Number of reviews', fontsize=10);\n",
    "    cax.legend()\n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.savefig('imgs/Now_dist_brand.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b87bab44",
   "metadata": {},
   "source": [
    "We can see that all brands with sufficient number of reviews converges to similar distribution. It resembles Poisson distribution with lambda=5."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e97a130",
   "metadata": {},
   "source": [
    "# 2. Statistical analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d82754c3",
   "metadata": {},
   "source": [
    "As we say before, it is better to consider only samsung and apple reviews."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "2225879c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[(df['Brand'] == 'apple') | (df['Brand'] == 'samsung')].reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81d6b15f",
   "metadata": {},
   "source": [
    "## 2.1 User satisfaction"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c96b56d",
   "metadata": {},
   "source": [
    "Let's research whether the users of Samsung and the users of Apple are equally satisfied with their smartphones or no. For this task we should compare mean values of their rates. For this reason, we can use Mann-Whitney's test."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4352ee6f",
   "metadata": {},
   "source": [
    "$H_0\\colon$ User satisfaction rate is the same for both Apple and Samsung.\n",
    "\n",
    "$H_1\\colon$ User satisfaction is different for both companies."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab6e114e",
   "metadata": {},
   "source": [
    "p-value = 0.05"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "ecc919d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "apple_rates = df[df['Brand']=='apple']['Rate'].values\n",
    "samsung_rates = df[df['Brand']=='samsung']['Rate'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "166f573c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MannwhitneyuResult(statistic=2000602.5, pvalue=0.02136200577467146)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats.mannwhitneyu(apple_rates, samsung_rates, alternative='two-sided')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ba85089",
   "metadata": {},
   "source": [
    "We can see that pvalue is less than 0.05, so we can reject our null-hypothesis amd make the conclusion that rate of satisfaction is different for both of these companies."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "cc4a7320",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1152x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(16, 6))\n",
    "\n",
    "fig.suptitle('Rate distribution', fontsize=20)\n",
    "\n",
    "for n, i in enumerate(['apple', 'samsung']):\n",
    "    c = n%2\n",
    "    brand_rate = df[df['Brand'] == i]['Rate']\n",
    "    cax = brand_rate.hist(ax=axes[c], color=color_dic[i], label=i)\n",
    "    cax.set_xlabel('Rate distribution', fontsize=10)\n",
    "    cax.set_ylabel('Number of reviews', fontsize=10);\n",
    "    cax.legend()\n",
    "    \n",
    "\n",
    "fig.tight_layout()\n",
    "\n",
    "plt.savefig('imgs/samsung_apple.png');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6546ed7f",
   "metadata": {},
   "source": [
    "We can see that distributions are slightly different."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}